{"id":"W4385196106","doi":"10.1007/978-3-031-17841-2_8","title":"Weathering the (Covid-19) Storm: Insights from Business School Instructors on Integrating Experiential Learning into Online Courses at the Outset of the Pandemic","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University; HEC Montréal","funders":"","keywords":"Experiential learning; Coronavirus disease 2019 (COVID-19); Pandemic; Experiential education; Heuristics; Psychology; Mathematics education; Pedagogy; Medical education; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005631789,0.0005280591,0.0003955061,0.0003003499,0.001192692,0.0003732936,0.001065095,0.0002210049,0.001483441],"category_scores_gemma":[0.001881723,0.0002626688,0.0002374079,0.0003474812,0.0002896489,0.0003351317,0.001241491,0.0007977989,0.000158675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002424576,"about_ca_system_score_gemma":0.0001610193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005234322,"about_ca_topic_score_gemma":0.01267919,"domain_scores_codex":[0.9977411,0.00005084192,0.0006265419,0.0005725472,0.0007385301,0.0002704638],"domain_scores_gemma":[0.9973564,0.0004773097,0.00109224,0.0007999715,0.0002403193,0.00003374958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001678683,0.0004411028,0.1753988,0.003763454,0.002856546,0.00002781159,0.03310614,0.006060614,0.002107207,0.4114159,0.2865552,0.07658856],"study_design_scores_gemma":[0.0005534837,0.00001443922,0.007090187,0.0008505859,0.000344888,8.800672e-7,0.01647005,0.00086669,0.00001153926,0.008234912,0.9648966,0.0006657031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7902353,0.000366476,0.0001637794,0.006468843,0.00771552,0.001745505,0.00002157772,0.0007082897,0.1925747],"genre_scores_gemma":[0.4829114,0.0002998795,0.00004846337,0.005768536,0.005575609,0.00009653488,0.0008451046,0.0002670445,0.5041875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6783414,"threshold_uncertainty_score":0.9999825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03892623253140766,"score_gpt":0.2675382853507929,"score_spread":0.2286120528193852,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}